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摘要: 本文提出了 Gabor 滤波器的两种快速实现方法. 这两种方法首先把 Gabor 滤波器分解为多个不同方向上有着不同参数的一维高斯滤波器的组合, 然后通过递归的方法分别实现这些高斯滤波器, 从而实现 Gabor 滤波器. 实验和分析结果表明, 本文提出的 Gabor 滤波器的快速实现方法, 不论是计算复杂度还是计算精度, 都比基于卷积的标准实现方法有着更好的性能和效果.Abstract: In this paper, two fast implementations of Gabor filter are proposed. The implementation strategy involves two steps: 1) decomposing Gabor filter into 1-D Gaussian filters along non-orthogonal axes with different variances; 2) recursively implementing these 1-D Gaussian filters. The non-orthogonal decomposition and recursive filtering ensure efficient performance. Experimental results showed that the proposed implementations outperform traditional convolution filtering with respect to computational speed and accuracy.
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Key words:
- Gabor filter /
- Gaussian filter /
- non-orthogonal decomposition /
- recursive filtering /
- fast algorithm
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